Posts Tagged Fatigue Severity Scale
[ARTICLE] Test-retest reliability, internal consistency and concurrent validity of Fatigue Severity Scale in measuring post-stroke fatigue – Full Text PDF
BACKGROUND: Post-stroke fatigue (PSF) is a common complaint among stroke survivors and has significant impacts on recovery and quality of life. Limited tools that measure fatigue have been validated in stroke.
AIM: The purpose of this study was to determine the psychometric properties of Fatigue Severity Scale (FSS) in patients with stroke.
DESIGN: Cross-sectional study.
SETTING: Teaching hospital outpatient setting.
POPULATION: Fifty healthy controls (mean age 61.1±7.4 years; 22 males) and 50 patients with stroke (mean age 63.6±10.3 years; 34 males).
METHODS: FSS was administered twice approximately a week apart through face-to-face interview. In addition, we measured fatigue with Visual Analogue Scale – Fatigue (VAS-F) and Short-Form Health Survey 36 version 2 vitality scale. We used Cronbach alpha to determine internal consistency of FSS. Reliability and validity of FSS were determined by intraclass correlation coefficient (ICC) and Spearman correlation coefficient (r).
RESULTS: FSS showed excellent internal consistency for both stroke and healthy groups (Cronbach’s alpha >0.90). FSS had excellent test-retest reliability for stroke patients and healthy controls (ICC=0.93 and ICC=0.90, respectively). The scale demonstrated good concurrent validity with VAS-Fatigue (all r>.60) and a moderate validity with the SF36-vitality scale. Furthermore, FSS was sensitive to distinguish fatigue in stroke from the healthy controls (P<0.01).
CONCLUSIONS: FSS has excellent internal consistency, test-retest reliability and good concurrent validity with VAS-F for both groups.
CLINICAL REHABILITATION IMPACT: This study provides evidence that FSS is a reliable and valid tool to measure post-stroke fatigue and is readily to be used in clinical settings.
Full Text PDF
via Test-retest reliability, internal consistency and concurrent validity of Fatigue Severity Scale in measuring post-stroke fatigue – European Journal of Physical and Rehabilitation Medicine 2017 October;53(5):703-9 – Minerva Medica – Journals
OBJECTIVE: The goal of the study was to assess fatigue in traumatic brain injury patients (TBI), identify potential predictors of its occurrence and its impact on quality of life.
MATERIAL/PATIENTS AND METHODS: We conducted a cross-sectional descriptive study about 25 patients suffering from TBI conducted in the physical medicine and rehabilitation department. The fatigue assessment was performed by two scales: Fatigue Severity Scale (FSS) and EVA Fatigue (EVAF). Depression was evaluated by the HAD scale. Quality of life was assessed by (SF36) scale.
RESULTS: The average age of our patients was 32.19±12.37 with a sex-ratio of 3.5. Thirteen patients (52%) were victims of severe TBI. Fatigue was present in 64% of patients (FSS>36). The mean score calculated by the FSS scale was 42.64±16.43. The mean EVA Fatigue was 5.23±2.32. Depressive symptoms was found in 68% of TBI, 94% of them have expressed fatigue (P=0.01). The average score for quality of life assessed by SF36 was 43.63±15.8. We found a significant correlation between the FSS score and the SF36 score (P<0.01, r=-0.76). Fatigue was more common in males (P=0.01, r=0.53). In addition, fatigue was negatively correlated with the level of education (P=0.03, r=-0.44). However, fatigue was not related to the period length after TBI, the initial GSG score or to the age.
DISCUSSION-CONCLUSION: Fatigue is a persistent symptom after traumatic brain injury. It is often undervalued. Depressive symptoms may be responsible for its appearance. Fatigue had a significant impact on quality of life. The proposal for specific rehabilitation protocols taking into account the aspect of fatigue may be efficient for these patients.